{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:S2W6YPBHCRUUBMVLVJJFBDSSAM","short_pith_number":"pith:S2W6YPBH","canonical_record":{"source":{"id":"1603.03784","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-11T21:09:19Z","cross_cats_sorted":["cs.CY","cs.SI"],"title_canon_sha256":"38557560f96c57c40ae6a811855607b49b1d74843e6ea9179ccdf8e92a2872d5","abstract_canon_sha256":"9fcf50fadec344d890e07cbf1762db509f545a4dee56f3b5f4c4e9b07e9ca32b"},"schema_version":"1.0"},"canonical_sha256":"96adec3c27146940b2abaa52508e5203161e66b30d57fd8266720e20d218a545","source":{"kind":"arxiv","id":"1603.03784","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.03784","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"arxiv_version","alias_value":"1603.03784v1","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.03784","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"pith_short_12","alias_value":"S2W6YPBHCRUU","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"S2W6YPBHCRUUBMVL","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"S2W6YPBH","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:S2W6YPBHCRUUBMVLVJJFBDSSAM","target":"record","payload":{"canonical_record":{"source":{"id":"1603.03784","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-11T21:09:19Z","cross_cats_sorted":["cs.CY","cs.SI"],"title_canon_sha256":"38557560f96c57c40ae6a811855607b49b1d74843e6ea9179ccdf8e92a2872d5","abstract_canon_sha256":"9fcf50fadec344d890e07cbf1762db509f545a4dee56f3b5f4c4e9b07e9ca32b"},"schema_version":"1.0"},"canonical_sha256":"96adec3c27146940b2abaa52508e5203161e66b30d57fd8266720e20d218a545","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:19:10.510584Z","signature_b64":"Jwlq1t+iGw6sSd6MJVgFNLWSDjOHjSoAH1Pa+mUIo4VVqX79Xq5b80oj86na72FZIiGaY+oMLZX/UOMWlxfeDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96adec3c27146940b2abaa52508e5203161e66b30d57fd8266720e20d218a545","last_reissued_at":"2026-05-18T01:19:10.509957Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:19:10.509957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.03784","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:19:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mNyeAgIPXHt1JHtsfQv04b8y2ckIgq09OhgoGXzsFFODsekLiS08OSbICK9qHEx8DIyA137SowQoYR1NMYP3Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:26:48.902517Z"},"content_sha256":"78ad634b47644df05d7f80033cd34509508f0550626c4881b9568c167fd4b1b2","schema_version":"1.0","event_id":"sha256:78ad634b47644df05d7f80033cd34509508f0550626c4881b9568c167fd4b1b2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:S2W6YPBHCRUUBMVLVJJFBDSSAM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards using social media to identify individuals at risk for preventable chronic illness","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CY","cs.SI"],"primary_cat":"cs.CL","authors_text":"Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen Kobourov","submitted_at":"2016-03-11T21:09:19Z","abstract_excerpt":"We describe a strategy for the acquisition of training data necessary to build a social-media-driven early detection system for individuals at risk for (preventable) type 2 diabetes mellitus (T2DM). The strategy uses a game-like quiz with data and questions acquired semi-automatically from Twitter. The questions are designed to inspire participant engagement and collect relevant data to train a public-health model applied to individuals. Prior systems designed to use social media such as Twitter to predict obesity (a risk factor for T2DM) operate on entire communities such as states, counties,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.03784","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:19:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VQRNPcKaSEQp8UIySTAZ5q7osAJmFonhfGY7K9xzijAVaRI/mhI1UEpG+rfDr4Dj4KZiVVPPMUPWGQma7kwgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T09:26:48.902868Z"},"content_sha256":"229acf33b4662f6ee3d46d7cbd69fd33b1dc41143f7bcda5594f57b4dcbc89e7","schema_version":"1.0","event_id":"sha256:229acf33b4662f6ee3d46d7cbd69fd33b1dc41143f7bcda5594f57b4dcbc89e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/bundle.json","state_url":"https://pith.science/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T09:26:48Z","links":{"resolver":"https://pith.science/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM","bundle":"https://pith.science/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/bundle.json","state":"https://pith.science/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S2W6YPBHCRUUBMVLVJJFBDSSAM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:S2W6YPBHCRUUBMVLVJJFBDSSAM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9fcf50fadec344d890e07cbf1762db509f545a4dee56f3b5f4c4e9b07e9ca32b","cross_cats_sorted":["cs.CY","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-11T21:09:19Z","title_canon_sha256":"38557560f96c57c40ae6a811855607b49b1d74843e6ea9179ccdf8e92a2872d5"},"schema_version":"1.0","source":{"id":"1603.03784","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.03784","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"arxiv_version","alias_value":"1603.03784v1","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.03784","created_at":"2026-05-18T01:19:10Z"},{"alias_kind":"pith_short_12","alias_value":"S2W6YPBHCRUU","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"S2W6YPBHCRUUBMVL","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"S2W6YPBH","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:229acf33b4662f6ee3d46d7cbd69fd33b1dc41143f7bcda5594f57b4dcbc89e7","target":"graph","created_at":"2026-05-18T01:19:10Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We describe a strategy for the acquisition of training data necessary to build a social-media-driven early detection system for individuals at risk for (preventable) type 2 diabetes mellitus (T2DM). The strategy uses a game-like quiz with data and questions acquired semi-automatically from Twitter. The questions are designed to inspire participant engagement and collect relevant data to train a public-health model applied to individuals. Prior systems designed to use social media such as Twitter to predict obesity (a risk factor for T2DM) operate on entire communities such as states, counties,","authors_text":"Dane Bell, Daniel Fried, Luwen Huangfu, Mihai Surdeanu, Stephen Kobourov","cross_cats":["cs.CY","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-11T21:09:19Z","title":"Towards using social media to identify individuals at risk for preventable chronic illness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.03784","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:78ad634b47644df05d7f80033cd34509508f0550626c4881b9568c167fd4b1b2","target":"record","created_at":"2026-05-18T01:19:10Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"9fcf50fadec344d890e07cbf1762db509f545a4dee56f3b5f4c4e9b07e9ca32b","cross_cats_sorted":["cs.CY","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2016-03-11T21:09:19Z","title_canon_sha256":"38557560f96c57c40ae6a811855607b49b1d74843e6ea9179ccdf8e92a2872d5"},"schema_version":"1.0","source":{"id":"1603.03784","kind":"arxiv","version":1}},"canonical_sha256":"96adec3c27146940b2abaa52508e5203161e66b30d57fd8266720e20d218a545","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96adec3c27146940b2abaa52508e5203161e66b30d57fd8266720e20d218a545","first_computed_at":"2026-05-18T01:19:10.509957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:19:10.509957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Jwlq1t+iGw6sSd6MJVgFNLWSDjOHjSoAH1Pa+mUIo4VVqX79Xq5b80oj86na72FZIiGaY+oMLZX/UOMWlxfeDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:19:10.510584Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.03784","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:78ad634b47644df05d7f80033cd34509508f0550626c4881b9568c167fd4b1b2","sha256:229acf33b4662f6ee3d46d7cbd69fd33b1dc41143f7bcda5594f57b4dcbc89e7"],"state_sha256":"1efdf71258d321917f61503d381c0a885afaab2aa08174d812c1acc012b4b3f5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7sBsru2ngB63Fg4QlFHBtvIg3M599Wz4m5Ddu5+rMCmq/8AuuDxT4iD72pwR1NXNIJ2pHkxt4ADdiNpguzkJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T09:26:48.904895Z","bundle_sha256":"39038226dafb5bba4f14ce923bcd87cd2560a6b93c4aeaaaf1edffe25f928ccb"}}